Fuzzy markup language: Difference between revisions

Revision as of 20:21, 13 December 2020

Revision as of 01:38, 17 December 2020

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==Overview==

FML was designed and developed by Giovanni Acampora during his Ph.D. course in Computer Science, at University of Salerno, Italy, in 2004. The original idea inspired Giovanni Acampora to create FML was the necessity of creating a cooperative fuzzy-based framework aimed at automatically controlling a living environment characterized by a plethora of heterogeneous devices whose interactions were devoted to maximize the human comfort under energy saving constraints. This framework represented one of the first concrete examples of [[AmI|Ambient Intelligence]]. Beyond this pioneering application, the major advantage of using XML to describe a fuzzy system is hardware/software interoperability. Indeed, all that is needed to read an FML file is the appropriate schema for that file, and an FML parser. This markup approach makes it much easier to exchange fuzzy systems between software: for example, a machine learning application could extract fuzzy rules which could then be read directly into a fuzzy inference engine or uploaded into a fuzzy controller. Also, with technologies like [[XSLT]], it is possible to compile the FML into the programming language of your choice, ready for embedding into whatever application you please. As stated by Mike Watts on his popular Computational Intelligence blog:<ref>{{cite web|last=Watts |first=Mike |url=http://computational-intelligence.blogspot.it/2011/05/fuzzy-markup-language.html |title=Computational Intelligence: Fuzzy Markup Language |publisher=Computational-intelligence.blogspot.it |date=2011-05-28 |accessdateaccess-date=2012-06-11}}</ref>

<blockquote>"Although Acampora's motivation for developing FML seems to be to develop embedded fuzzy controllers for ambient intelligence applications, FML could be a real boon for developers of fuzzy rule extraction algorithms: from my own experience during my PhD, I know that having to design a file format and implement the appropriate parsers for rule extraction and fuzzy inference engines can be a real pain, taking as much time as implementing the rule extraction algorithm itself. I would much rather have used something like FML for my work."</blockquote>

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==Further reading==

* {{cite journal | title=Diet assessment based on type-2 fuzzy ontology and fuzzy markup language | journal=International Journal of Intelligent Systems | date=December 2010 | author=Lee, Chang-Shing | pages=1187–1216|display-authors=etal | doi=10.1002/int.20449 | volume=25 | issue=12}} {{Paywall}}

* {{Cite journal|last=Acampora|first=G.|author2=Loia, V.|year=2005|title=Fuzzy control interoperability and scalability for adaptive domotic framework|url=|journal= IEEE Transactions on Industrial Informatics|volume=1|issue=2|pages=97–111|doi=10.1109/TII.2005.844431}}

* {{Cite journal|last=Acampora|first=G.|author2=Loia, V.|year=2008|title=A proposal of ubiquitous fuzzy computing for Ambient Intelligence|url=|journal= Information Sciences|volume=178|issue=3|pages=631–646|doi=10.1016/j.ins.2007.08.023}}

* {{Cite journal|last=Acampora|first=G.|author2=Wang, M.-H.|author3= Lee, C.-S.|author4= Hsieh, K.-L.|author5= Hsu, C.-Y.|author6= Chang, C.-C.|year=2010|title=Ontology-based multi-agents for intelligent healthcare applications|url=|journal= Journal of Ambient Intelligence and Humanized Computing|volume=1|issue=2|pages=111–131|doi=10.1007/s12652-010-0011-5}}

* {{Cite journal|last=Acampora|first=G.|author2= Loia, V.|author3= Gaeta, M.|author4= Vasilakos, A.V.|year=2010|title=Interoperable and adaptive fuzzy services for ambient intelligence applications|url=|journal= ACM Transactions on Autonomous and Adaptive Systems|volume=5|issue=2|doi=10.1145/1740600.1740604|pages=1–26}}

[[Category:Markup languages]]